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A data factory is an architecture that promotes data integration between various data pipelines, both Cloud and On-Premise.
The advantages of this type of architecture include (but are not limited to)
use of semantics, data and metadata mining, etc.
improved customer profiling, fraud detection, preventive maintenance, etc.
promote data engineering and governance between source and destination (e.g. consumers, etc.)
more data governance safeguards put in place around access controls, guaranteeing that data is only available by segmentation or certain roles.
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The type of data architecture based on data meshing would not be preferred, as this is a decentralized architecture that organizes data by business area (e.g. HR, Marketing, etc.) and also by products or sub-products. Data lakes can also be used as decentralized data repositories to create a data mesh. The data factory facilitates the transport of data from one point to another, and makes it easier to include AI/analytics capabilities. |